Are you passionate about pushing the boundaries of AI and building cutting-edge solutions? We're a fast-growing generative AI startup seeking an experienced Senior Software Engineer to join our team. In this role, you will have the opportunity to design and implement AI-driven applications that redefine how people interact with technology. If you're excited about the future of generative AI and have the skills to build scalable systems, we want to meet you!
Responsibilities:
- Design, develop, and maintain AI-driven applications, ensuring high performance and scalability
- Collaborate with data scientists and ML engineers to integrate state-of-the-art generative AI models into production environments
- Optimize algorithms and pipelines for real-time performance and low-latency AI-driven user interactions
- Build and maintain cloud-based infrastructure to support AI applications and services
- Develop APIs and backend systems to expose generative models to frontend applications and third-party integrations
- Ensure best practices in code quality, testing, and documentation across the team
- Mentor junior engineers and provide technical leadership in architecture and design discussions
- Stay current with advancements in AI and machine learning to apply cutting-edge techniques in product development
Tech Stack:
- Languages: Python, JavaScript (Node.js), TypeScript, Go
- AI/ML Frameworks: PyTorch, TensorFlow, Hugging Face, OpenAI API
- Cloud & Infrastructure: AWS, GCP, Docker, Kubernetes, Terraform
- Data & Processing: Redis, Kafka, SQL/NoSQL databases
- APIs: RESTful, GraphQL, gRPC
- Version Control: Git, GitHub/GitLab
- CI/CD: Jenkins, CircleCI, GitLab CI
Qualifications:
- 5+ years of software engineering experience, with at least 2 years in AI or machine learning-related projects
- Strong understanding of generative AI models (e.g., transformers, GPT, VAEs) and experience integrating them into real-world applications
- Experience with scalable cloud infrastructure and distributed systems
- Proficiency in backend development with Node.js, Python, or Go
- Solid understanding of machine learning pipelines, model deployment, and versioning
- Familiarity with containerization and orchestration tools (Docker, Kubernetes)
- Experience with data management and high-throughput data processing systems
- Strong problem-solving and debugging skills, with an ability to work independently and lead projects
Nice to Have:
- Experience with fine-tuning and training large-scale models (GPT, BERT, Stable Diffusion, etc.)
- Familiarity with MLOps practices and tools (MLflow, Kubeflow)
- Knowledge of natural language processing (NLP), computer vision, or multimodal models
- Experience working in a fast-paced startup environment
